{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "sns.set_style('whitegrid')\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['fixed acidity', 'volatile acidity', 'citric acid', 'residual sugar', 'chlorides', 'free sulfur dioxide', 'total sulfur dioxide', 'density', 'pH', 'sulphates', 'alcohol']\n"
     ]
    }
   ],
   "source": [
    "train = pd.read_csv('../data/train.csv', sep=';', header=None, \n",
    "                    names=['fixed acidity','volatile acidity','citric acid',\n",
    "                           'residual sugar','chlorides','free sulfur dioxide','total sulfur dioxide',\n",
    "                           'density','pH','sulphates','alcohol','quality'])\n",
    "columns = train.columns.tolist()\n",
    "train.drop(train.index[629], inplace=True)\n",
    "train = train[columns].astype(float)\n",
    "columns.remove('quality')\n",
    "\n",
    "print(columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "29.0     103\n",
       "31.0      99\n",
       "34.0      96\n",
       "26.0      90\n",
       "36.0      87\n",
       "35.0      87\n",
       "37.0      82\n",
       "32.0      80\n",
       "24.0      80\n",
       "40.0      73\n",
       "33.0      72\n",
       "27.0      72\n",
       "22.0      71\n",
       "47.0      71\n",
       "38.0      70\n",
       "30.0      70\n",
       "28.0      70\n",
       "23.0      68\n",
       "21.0      67\n",
       "41.0      67\n",
       "45.0      66\n",
       "20.0      66\n",
       "19.0      64\n",
       "25.0      63\n",
       "18.0      61\n",
       "49.0      61\n",
       "39.0      60\n",
       "44.0      60\n",
       "42.0      59\n",
       "17.0      57\n",
       "        ... \n",
       "86.0       1\n",
       "95.0       1\n",
       "43.5       1\n",
       "97.0       1\n",
       "118.5      1\n",
       "38.5       1\n",
       "60.5       1\n",
       "110.0      1\n",
       "28.5       1\n",
       "19.5       1\n",
       "131.0      1\n",
       "89.0       1\n",
       "85.0       1\n",
       "96.0       1\n",
       "2.0        1\n",
       "112.0      1\n",
       "124.0      1\n",
       "80.0       1\n",
       "11.5       1\n",
       "77.5       1\n",
       "70.5       1\n",
       "105.0      1\n",
       "79.0       1\n",
       "39.5       1\n",
       "40.5       1\n",
       "42.5       1\n",
       "138.5      1\n",
       "82.5       1\n",
       "93.0       1\n",
       "122.5      1\n",
       "Name: free sulfur dioxide, Length: 121, dtype: int64"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train['free sulfur dioxide'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1512x216 with 7 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "g = sns.FacetGrid(train, col='quality')\n",
    "g = g.map(sns.distplot, \"free sulfur dioxide\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
